The lottery ticket hypothesis wasn't wrong. We just weren't ready for it. In 2025, sparse models are no longer academic curiosities. They're production infrastructure. The future isn't bigger models. It's smarter pruning. Welcome to the efficiency era. Read it here if you
ENTERPRISE AI
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Sparse Models Deliver Real-World Gains
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Real-world results from companies already deploying sparse models: OpenAI: 40% cost reduction on GPT-4 API
Meta: 3x throughput increase for Llama inference
Google: 60% memory savings for production transformers The early adopters are already winning. -

MIT’s 90% Neural Network Deletion Breakthrough Ignored
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MIT proved you can delete 90% of a neural network without losing accuracy. Five years later, nobody implements it. "The Lottery Ticket Hypothesis" just went from academic curiosity to production necessity, and it's about to 10x your inference costs. Here's what changed (and
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Three AI Capabilities: Traditional, Generative, and Agentic AI in 2026
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AI isn’t one thing – it’s three different capabilities. Traditional AI predicts and detects. Generative AI creates and automates. Agentic AI takes action and uses tools. The real shift in 2026?
Agentic AI becomes the operational layer – moving companies from automation -
Why 95% of AI Pilots Fail and How to Succeed
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He publicado un episodio en @ivoox
: "95% de los pilotos de IA fracasan (haz que el tuyo SI funcione) #podcast -
Agentic AI Orchestration: Next Critical Challenge for CIOs
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#AgenticAI orchestration, the next AI issue for CIOs to tackle techtarget.com/searchcustome… via @techtargetnews
→ View original post on X — @pandeyajay7, 2026-01-02 01:54 UTC
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LLM Explainability and Safety Mechanisms in Deployment
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"LLMs that can explain which data led to what outputs will be key to non annoying/dangerous/stupid deployments. They will be surrounded by lots of mechanism to keep them boxed in, and those mechanisms, not yet invented for most applications, will be where the arms races occur."
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Grok’s role in Tesla ecosystem sparks investment vs integration debate
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Grok is going to be the AI that runs Tesla cars, xAI, Neuralink, and Optimus, among other things. It makes a lot of sense for Tesla to invest in xAI, but I'm not so sure it makes sense to put xAI inside Tesla. If I was Elon, I would go for an investment rather than a full-on
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AI running a company predicted to be more common in 2026
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An AI is running her company. I bet you hear that a LOT more in 2026.
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Wayve’s 2025: Global Expansion and Commercial Breakthroughs in Autonomous Driving
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2025 was a defining year for Wayve.
— Alex Kendall (@alexgkendall) 31 décembre 2025
We founded Wayve on the belief that embodied intelligence would unlock autonomy at scale. After eight years of pioneering deep tech research, this year marked a true inflection where Wayve became global and commercial.
Wayve went global 🌍
*… pic.twitter.com/cbCi5M2uoh2025 was a defining year for Wayve. We founded Wayve on the belief that embodied intelligence would unlock autonomy at scale. After eight years of pioneering deep tech research, this year marked a true inflection where Wayve became global and commercial. Wayve went global 🌍 * A year ago we were just driving in central London. In 2025 we drove autonomously in 500+ cities across Europe, Asia, and North America — 43% with zero prior training data, showcasing the generalisation of AV2.0 * Expanded operations across London, Silicon Valley, Tokyo, Vancouver, Tel Aviv, and Stuttgart, welcoming exceptional talent and partnering with the world’s leading automotive manufacturers Wayve went commercial 🚗 * Started work with global fleets and automakers to deploy our AI Driver in applications across all levels L1–L5 autonomy * Announced a landmark deal with Nissan, one of the largest global automakers, to bring our AI Driver to their global consumer vehicles from FY2027 * Partnered with Uber to launch robotaxis on their marketplace in cities around the world, starting in London Grateful to our team, investors, and partners for making this possible. Bring on 2026!
→ View original post on X — @ryan_browne_, 2025-12-31 23:57 UTC
